Introduction: The widespread application of artificial intelligence in academic writing has triggered a series of pressing legal challenges.Methods: This study systematically examines critical issues, including copyright protection, academic integrity, and comparative research methods. We establishes a risk assessment matrix to quantitatively analyze various risks in AI-assisted academic writing from three dimensions: impact, probability, and mitigation cost, thereby identifying high-risk factors.Results: The findings reveal that AI-assisted writing challenges fundamental principles of traditional copyright law, with judicial practice tending to position AI as a creative tool while emphasizing human agency. Regarding academic integrity, new risks, such as “credibility illusion” and “implicit plagiarism,” have become prominent in AI-generated content, necessitating adaptive regulatory mechanisms. Research data protection and personal information security face dual challenges in data security that require technological and institutional innovations.Discussion: Based on these findings, we propose a three-dimensional regulatory framework of “transparency, accountability, technical support” and present systematic policy recommendations from institutional design, organizational structure, and international cooperation perspectives. The research results deepen understanding of legal attributes of AI creation, promote theoretical innovation in digital era copyright and academic ethics, and provide practical guidance for academic institutions in formulating AI usage policies.

To analyze the differential expression genes of polycystic ovary syndrome (PCOS), clarify their functions and pathways, as well as the protein–protein interaction network, identify HUB genes, and explore the pathological mechanism. PCOS microarray datasets were screened from the GEO database. Common differentially expressed genes (co-DEGs) were obtained using GEO2R and Venn analysis. Enrichment and pathway analyses were conducted using the DAVID online tool, with results presented in bubble charts. Protein–protein interaction analysis was performed using the STRING tool. HUB genes were identified using Cytoscape software and further interpreted with the assistance of the GeneCards database. A total of two sets of co-DEGs (108 and 102), key proteins (15 and 55), and hub genes (10 and 10) were obtained. The co-DEGs: (1) regulated inflammatory responses and extracellular matrix, TNF, and IL-17 signaling pathways; (2) regulated ribosomes and protein translation, ribosome and immune pathways. The key proteins: (1) regulated inflammation, immunity, transcription, matrix metabolism, proliferation/differentiation, energy, and repair; (2) regulated ubiquitination, enzymes, companion proteins, respiratory chain components, and fusion proteins. The Hub genes: (1) encoded transcription factors and cytokines, playing vital roles in development and proliferation; (2) encoded ribosomes and protein synthesis, influencing hormone and protein synthesis, associated with development and infertility. The dysregulated expression of inflammation and protein synthesis genes in PCOS may be the key mechanism underlying its onset and progression.

To explore the research progress and trends on mineral elements and depression. After querying the MeSH database and referring to the search rules, the search terms were selected and optimized to obtain the target literature collection. We analyzed the general characteristics of the literature, conducted network clustering and co-occurrence analysis, and carried out a narrative review of crucial literature. Bipolar disorder was a dominant topic in the retrieved literature, which saw a significant increase in 2010 and 2019–2020. Most studies focused on mineral elements, including lithium, calcium, magnesium, zinc, and copper. The majority of journals and disciplines were in the fields of psychiatry, neuropsychology, neuropharmacology, nutrition, medical informatics, chemistry, and public health. The United States had the highest proportion in terms of paper sources, most-cited articles, high-frequency citations, frontier citations, and high centrality citation. Regarding the influence of academic institutions, the top five were King's College London, the Chinese Academy of Sciences, University of Barcelona, INSERM, and Heidelberg University. Frontier keywords included bipolar disorder, drinking water, (neuro)inflammation, gut microbiota, and systematic analysis. Research on lithium response, magnesium supplementation, and treatment-resistant unipolar depression increased significantly after 2013. Global adverse events may have indirectly driven the progress in related research. Although the literature from the United States represents an absolute majority, its influence on academic institutions is relatively weaker. Multiple pieces of evidence support the efficacy of lithium in treating bipolar disorder (BD). A series of key discoveries have led to a paradigm shift in research, leading to increasingly detailed studies on the role of magnesium, calcium, zinc, and copper in the treatment of depression. Most studies on mineral elements remain diverse and inconclusive. The potential toxicity and side effects of some elements warrant careful attention.

Objective: This study aimed to elucidate the pathophysiological role of psychological distress in early-stage gestational hypertension (GH) through comprehensive assessment of its regulatory effects on disease progression and association with adverse pregnancy outcomes, thereby providing evidence-based support for early screening and intervention strategies. Methods: We conducted a prospective case-control study involving 446 patients with early-stage GH (diagnostic criteria: new-onset hypertension after 20 weeks of gestation, blood pressure ≥140/90 mmHg without proteinuria) and 200 normotensive pregnant women as controls. Psychological distress was assessed using the Self-Rated Anxiety Scale (SAS). A multidimensional statistical approach, including univariate analysis and multivariate logistic regression, was employed to systematically explore the risk factors that influence psychological distress. Pregnancy and perinatal outcomes were compared using Chi-square tests and t-tests. Results: The study revealed a markedly elevated prevalence of psychological distress in the early-stage GH group (20.9%) compared to controls (7.0%, P < 0.05). Multivariate analysis identified educational level (OR = 2.298, 95% CI [1.289–4.097]), history of adverse pregnancy (OR = 2.604, 95% CI [1.342–5.050]), and GH itself (OR = 1.859, 95% CI [1.213–2.850]) as independent risk factors for psychological distress. Follow-up data demonstrated that patients with psychological distress exhibited significantly higher rates of progression to preeclampsia (24.7% vs. 12.7%, P < 0.05), along with increased incidence of adverse pregnancy outcomes, including premature rupture of membranes, postpartum hemorrhage, neonatal infection, macrosomia, and low birth weight. Conclusions: This study provides a systematic characterization of psychological distress patterns in early stage GH patients and their potential impact on disease progression. Findings highlight the critical importance of integrating routine psychological screening and early intervention strategies into prenatal care for patients with GH to optimize maternal and neonatal outcomes.

Circulating 25-hydroxyvitamin D is the standard marker of vitamin D status, but tissue responses to vitamin D vary across organs, inflammatory states, and clinical settings. This review frames vitamin D biology as a cellular endocrine system in which substrate transport, local CYP27B1-mediated activation, CYP24A1-mediated inactivation, and VDR responsiveness form tissue-specific microcircuits. Evidence from barrier epithelia, immune cells, and brain-resident cells indicates that megalin/cubilin-dependent uptake, local enzyme balance, redox state, and downstream transcriptional competence can decouple serum 25-hydroxyvitamin D from intracellular vitamin D activity. We use metabolic vitamin D resistance to describe acquired low-responsiveness states driven by inflammation, aging, redox stress, or chronic disease. This framework clarifies biomarker interpretation and supports more context-aware approaches to supplementation, trial design, and tissue-targeted intervention.